Genetic Variations Linked to Bipolar Disorder in Japanese People
Author Information
Author(s): Nakatochi Masahiro, Kushima Itaru, Aleksic Branko, Kimura Hiroki, Kato Hidekazu, Inada Toshiya, Torii Youta, Takahashi Nagahide, Yamamoto Maeri, Iwamoto Kunihiro, Nawa Yoshihiro, Iritani Shuji, Iwata Nakao, Saito Takeo, Ninomiya Kohei, Okochi Tomo, Hashimoto Ryota, Yamamori Hidenaga, Yasuda Yuka, Fujimoto Michiko, Miura Kenichiro, Ohi Kazutaka, Shioiri Toshiki, Kitaichi Kiyoyuki, Itokawa Masanari, Arai Makoto, Miyashita Mitsuhiro, Toriumi Kazuya, Takahashi Tsutomu, Suzuki Michio, Kato Takahiro A., Kanba Shigenobu, Horikawa Hideki, Kasai Kiyoto, Ikegame Tempei, Jinde Seiichiro, Kato Tadafumi, Kakiuchi Chihiro, Yamagata Bun, Nio Shintaro, Kunii Yasuto, Yabe Hirooki, Okamura Yasunobu, Tadaka Shu, Fumihiko Ueno, Obara Taku, Yamamoto Yasuyuki, Arioka Yuko, Mori Daisuke, Ikeda Masashi, Ozaki Norio
Primary Institution: Nagoya University Graduate School of Medicine
Hypothesis
The study evaluates the relationship between bipolar disorder and rare copy number variations (CNVs) in synaptic genes.
Conclusion
The study found that CNVs in the RNF216 gene and postsynaptic membrane-related genes are associated with an increased risk of bipolar disorder.
Supporting Evidence
- Patients with bipolar disorder showed a higher frequency of CNVs in RNF216 compared to controls.
- Gene-based analysis identified significant associations between CNVs in synaptic genes and bipolar disorder.
- Previous studies have linked CNVs to other psychiatric disorders, suggesting a common genetic risk factor.
Takeaway
Scientists looked at the genes of people with bipolar disorder and found some tiny changes that might make them more likely to have this condition.
Methodology
The study used array comparative genome hybridization to detect CNVs in patients with bipolar disorder and healthy controls.
Potential Biases
Potential biases may arise from the selection of control participants and the reliance on self-reported data.
Limitations
The study may not have detected short CNVs and relied on array-based methods which have limitations in resolution.
Participant Demographics
The study included 1857 patients with bipolar disorder and 2847 healthy controls, primarily of Japanese descent.
Statistical Information
P-Value
0.003
Confidence Interval
1.66–14.89
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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